---
res:
  bibo_abstract:
  - |-
    <jats:p>A cause-effect chain is used to define the logical order of data dependent tasks, which is independent from the execution order of the jobs of the (periodic/sporadic) tasks. Analyzing the worst-case End-to-End timing behavior, associated to a cause-effect chain, is an important problem in embedded control systems. For example, the detailed timing properties of modern automotive systems are specified in the AUTOSAR Timing Extensions.</jats:p>
              <jats:p>
                In this paper, we present a formal End-to-End timing analysis for distributed systems. We consider the two most important End-to-End timing semantics, i.e., the button-to-action delay (termed as the
                <jats:italic>maximum reaction time</jats:italic>
                ) and the worst-case data freshness (termed as the
                <jats:italic>maximum data age</jats:italic>
                ). Our contribution is significant due to the consideration of the sporadic behavior of job activations, whilst the results in the literature have been mostly limited to periodic activations. The proof strategy shows the (previously unexplored) connection between the reaction time (data age, respectively) and immediate forward (backward, respectively) job chains. Our analytical results dominate the state of the art for sporadic task activations in distributed systems and the evaluations show a clear improvement for synthesized task systems as well as for a real world automotive benchmark setting.
              </jats:p>@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Marco
      foaf_name: Dürr, Marco
      foaf_surname: Dürr
  - foaf_Person:
      foaf_givenName: Georg Von Der
      foaf_name: Brüggen, Georg Von Der
      foaf_surname: Brüggen
  - foaf_Person:
      foaf_givenName: Kuan-Hsun
      foaf_name: Chen, Kuan-Hsun
      foaf_surname: Chen
  - foaf_Person:
      foaf_givenName: Jian-Jia
      foaf_name: Chen, Jian-Jia
      foaf_surname: Chen
  bibo_doi: 10.1145/3358181
  bibo_issue: 5s
  bibo_volume: 18
  dct_date: 2019^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/1539-9087
  - http://id.crossref.org/issn/1558-3465
  dct_language: eng
  dct_publisher: Association for Computing Machinery (ACM)@
  dct_title: End-to-End Timing Analysis of Sporadic Cause-Effect Chains in Distributed
    Systems@
...